E-SAGE: Explainability-based Defense Against Backdoor Attacks on Graph Neural Networks

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Jiang, B., Li, Z.: Defending against backdoor attack on graph nerual network by explainability. arXiv preprint arXiv:2209.02902 (2022)

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Zhang, J., Yang, Y., Liu, Y., Han, M., Yin, S.: Graph representation learning via adaptive multi-layer neighborhood diffusion contrast. In: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. pp. 4682–4686 (2022)

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Dai, E., Lin, M., Zhang, X., Wang, S.: Unnoticeable backdoor attacks on graph neural networks. In: Proceedings of the ACM Web Conference 2023. pp. 2263–2273 (2023)

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